開源的推薦系統列表

jopen 9年前發布 | 13K 次閱讀 推薦系統 推薦引擎
  1. PredictionIO is built on technologies Apache Spark, Apache HBase and Spray. It is a machine learning server that can be used to create a recommender system. The source can be located on github and it looks very active.
  2. Racoon Recommendation Engine is an open source Node.js based collaborative filter that uses Redis as a store. It is effectively abandoned.
  3. HapiGER is an open source Node.js collaborative filtering engine, which can use in-memory, PostgreSQL or rethinkdb. Reasonably active development (when I have time :)
  4. EasyRec Java and Rest based recommendations. Abandoned
  5. Mahout Hadoop/linear algebra based data mining
  6. Seldon is a Java based prediction engine built on technologies like Apache Spark. It provides a demo movie recommendations application here.
  7. LensKit is a Java based research recommender system designed for small-to-medium scale.
  8. Oryx v2 a large scale architecture for machine learning and prediction (suggested by Lorand)
  9. RecDB is a PostgreSQL extension to add recommendation algorithms like collaborative filtering directly into the database.
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